Deforming the Singly Periodic Genus-One Helicoid. - David Hoffman; Fusheng Wei (Exp. Math., 2002)

Empirical Study of Deep Learning for Text Classification in Legal Document Review. - Fusheng Wei; Han Qin; Shi Ye 002; Haozhen Zhao (IEEE BigData, 2018)

Image Analytics for Legal Document Review : A Transfer Learning Approach. - Nathaniel Huber-Fliflet; Fusheng Wei; Haozhen Zhao; Han Qin; Shi Ye 002; Amy Tsang (IEEE BigData, 2019)

Empirical Comparisons of CNN with Other Learning Algorithms for Text Classification in Legal Document Review. - Robert Keeling; Rishi Chhatwal; Nathaniel Huber-Fliflet; Jianping Zhang 003; Fusheng Wei; Haozhen Zhao; Ye Shi 002; Han Qin (IEEE BigData, 2019)

Application of Deep Learning in Recognizing Bates Numbers and Confidentiality Stamping from Images. - Christian J. Mahoney; Katie Jensen; Fusheng Wei; Haozhen Zhao; Han Qin; Shi Ye 002 (IEEE BigData, 2020)

Use Image Clustering to Facilitate Technology Assisted Review. - Haozhen Zhao; Fusheng Wei; Hilary Quatinetz; Han Qin; Adam Dabrowski (IEEE BigData, 2021)

An Application of Object Detection in Contract Analysis. - Josh Levy; Fusheng Wei; Jingchao Yang; Adam Dabrowski (IEEE Big Data, 2022)

An Empirical Comparison of DistilBERT, Longformer and Logistic Regression for Predictive Coding. - Fusheng Wei; Jingchao Yang; Qiang Mao; Han Qin; Adam Dabrowski (IEEE Big Data, 2022)

Explainable Text Classification for Legal Document Review in Construction Delay Disputes. - Nathaniel Huber-Fliflet; Jianping Zhang 003; Peter Gronvall; Fusheng Wei; Philip Spinelli; Adam Dabrowski; Jingchao Yang (IEEE Big Data, 2023)

Exploring Approaches to Optimize the Performance of Predictive Coding on Multilanguage Data Sets. - Christian J. Mahoney; Nathaniel Huber-Fliflet; Peter Gronvall; Chris Clark; Jianping Zhang 003; Fusheng Wei; Qiang Mao (IEEE Big Data, 2023)

Empirical Study of LLM Fine-Tuning for Text Classification in Legal Document Review. - Fusheng Wei; Robert Keeling; Nathaniel Huber-Fliflet; Jianping Zhang 003; Adam Dabrowski; Jingchao Yang; Qiang Mao; Han Qin (IEEE Big Data, 2023)

An Empirical Analysis of Text Segmentation for BERT Classification in Extended Documents. - Jingchao Yang; Fusheng Wei; Nathaniel Huber-Fliflet; Adam Dabrowski; Qiang Mao; Han Qin (IEEE Big Data, 2023)

Experimental Study of In-Context Learning for Text Classification and Its Application to Legal Document Review in Construction Delay Disputes. - Nathaniel Huber-Fliflet; Jianping Zhang 003; Peter Gronvall; Fusheng Wei; Philip Spinelli (IEEE Big Data, 2024)

Comparative Analysis of LLM-Generated Event Timeline Summarization for Legal Investigations. - Qiang Mao; Adam Dabrowski; Fusheng Wei; Eric Olson; Robert Neary; Jingchao Yang; Han Qin; Nathaniel Huber-Fliflet (IEEE Big Data, 2024)

Empirical Evaluation of Embedding Models in the Context of Text Classification in Document Review in Construction Delay Disputes. - Fusheng Wei; Robert Neary; Han Qin; Qiang Mao; Jianping Zhang 001 (IEEE Big Data, 2024)

Empirical Evaluation of Ensemble and Single Model Approaches for Multilingual Predictive Coding. - Jingchao Yang; Adam Dabrowski; Robert Neary; Nathaniel Huber-Fliflet; Fusheng Wei; Qiang Mao (IEEE Big Data, 2024)

Research on Power Load Data Acquisition and Integrated Transmission Systems in Electric Energy Calculation and Detection. - Sanlei Dang; Fusheng Wei; Min Wu; Ruibiao Xie; Jintao Wu (EAI Endorsed Trans. Energy Web, 2024)

Performance evaluation of distributed multi-agent IoT monitoring based on intelligent reflecting surface. - Ying Sun; Jiajia Huang; Fusheng Wei (EURASIP J. Adv. Signal Process., 2024)

Empirical Evaluation of Embedding Models in the Context of Text Classification in Document Review in Construction Delay Disputes. - Fusheng Wei; Robert Neary; Han Qin; Qiang Mao; Jianping Zhang 003 (CoRR, 2025)